Adding tags to DAG runs
- Dominant language
- Python
- Stars
- 46.9k
- Forks
- 17.8k
- Avg merge
- 2d 10h
- Merged PRs (30d)
- 483
Description
### Description
Currently I see only option to tag DAGs. I don't see such an option for DAG runs.
It will be quite useful for me, to add and filter runs by tags.
### Use case/motivation
I'd like to filter runs based on tags. For example, I have different DAGs (predict, train, etc.) that I could tag with tags like 'model_name=mymodel', then I can see all runs that used that model.
This also gives the user a way to group dagruns based on keys like experiment=name, such management exists in other dag runners (e.g kubeflow)
### Related issues
_No response_
### Are you willing to submit a PR?
- [x] Yes I am willing to submit a PR!
### Code of Conduct
- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
Contributor guide
Research direction
Start by tracing how DAG tags are stored and exposed, then inspect the DAG-run listing and filtering paths. The work is done when DAG runs can receive tags such as model_name=mymodel or experiment=name and users can filter runs by those tags.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- backend, data-engineering
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100